Skip to main content
  • 52 Accesses

Abstract

In the past, CIMMYT’s contributions to a more productive and more sustainable agriculture were largely in crop improvement. Some of its contributions were direct: CIMMYT has developed maize and wheat varieties that resist insects and diseases with minimal use of pesticides, or that use water and nutrients more efficiently. But it has contributed more in indirect or preventive ways: new maize and wheat technology has averted or forestalled resource degradation by helping alleviate poverty, generate employment, and stimulate broad-based economic development, thus reducing the pressure on fragile agricultural lands.

This paper describes CIMMYT’s experiences in the use of systems methods to raise the efficiency of crop-improvement research. CIMMYT has achieved higher efficiency by improving the identification and characterization of production environments (mega-environments), the identification and characterization of testing environments, and the characterization of genotype responses and interactions with environments. The paper then describes CIMMYT’s direct contributions to a sustainable agriculture through its endeavors in NRM research, and it suggests opportunities for the use of systems methods in improving the efficiency of these endeavors. The paper closes with a word of caution about the relevance of the outcome, in terms of the link between systems methods (crop models, GIS) and a farming systems perspective (e g , factors affecting the adoption decisions by farmers).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • CGIAR (1985) International Agricultural Research Centers: Astudy of achievements and potential. Washington D.C.:Consultative Group on International Agricultural Research.

    Google Scholar 

  • Chapman S C (1992) Implementing crop models in spatial analyses. Invitedreview paper, Proceedings of the 22nd Annual Workshop onCrop Simulation, 23–25 March 1992, Corpus Christi, Texas, USA.

    Google Scholar 

  • CIMMYT (1992) CIMMYT in 1992. Poverty, the environment, and populationgrowth: The way forward. Annual Report. International Maize and Wheat ImprovementCenter. Mexico City.

    Google Scholar 

  • Corbett J (1993) Dynamic crop environment classificationusing interpolated climate surfaces. Proceedings of the SecondInternational Conference/ Workshop on the Integration of GIS and Environmental Modeling, September 1993, Breckinridge, Colorado, USA. (to be published).

    Google Scholar 

  • DeLacy I, Fox P, Corbett J, Crossa J, Rajaram S, Fischer R A, Van GinkelM (1993) Long-Term association of locations for testing spring bread wheat.Euphytica. (forthcoming).

    Google Scholar 

  • FAO (1981) Methodology and results for South and Central America.Report on the Agroecological Zones Project, Vol. 3., Food and AgricultureOrganization, Rome, Italy.

    Google Scholar 

  • Harrington L (1993) Sustainability in perspective: Strengths andlimitations of farming systems research in contributing to a sustainableagriculture. Journal of Sustainable Agriculture. (forthcoming).

    Google Scholar 

  • Muchow R C, Hammer G L, Carberry P S (1991) Optimising crop andcultivar selection in response to climatic risk.Pages 235–262 in Climatic risk in crop production: Models and management in thesemi-arid tropics and subtropics. Proceedings of anInternational Symposium, 2–6 July 1990, Brisbane, Australia.

    Google Scholar 

  • Tripp R, Buckles D, Van Nieuwkoop M, Harrington L (1993)Land classification, land economics and technical change: Awkward issues infarmer adoption of land-conserving technologies. Presented at the Seminario para la Definicion de una Metodologia de Evaluacion de Tierras para unAgricultural Sostenibleen Mexico.

    Google Scholar 

  • De Wit C T, Penning de Vries F W T (1985) Predictive models in agricultural production. Phil.Trans. R. Soc.London: B 310:309–315.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Harrington, L., Corbett, J., Chapman, S., Van Keulen, H. (1994). Systems approaches for crop improvement and natural resource management research in CIMMYT: past and future. In: Goldsworthy, P., De Vries, F.P. (eds) Opportunities, use, and transfer of systems research methods in agriculture to developing countries. Systems Approaches for Sustainable Agricultural Development. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0764-8_18

Download citation

  • DOI: https://doi.org/10.1007/978-94-011-0764-8_18

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-3206-0

  • Online ISBN: 978-94-011-0764-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics